code: def pipeline_h2o_regr() -> Pipeline:
      node = PipelineNode("h2o_regr")
      pipeline = Pipeline(node)
      return pipeline
  
file_path: FEDOT/examples/advanced/automl/h2o_example.py
imports: import numpy
  from sklearn.metrics import roc_auc_score, mean_squared_error, mean_absolute_error
  from examples.advanced.time_series_forecasting.composing_pipelines import visualise
  from examples.simple.pipeline_import_export import create_correct_path
  from fedot.core.data.data_split import train_test_data_setup
  from fedot.core.pipelines.node import PipelineNode
  from fedot.core.pipelines.pipeline import Pipeline
  from fedot.core.repository.operation_types_repository import OperationTypesRepository
  from test.unit.tasks.test_classification import get_iris_data
  from test.unit.tasks.test_forecasting import get_ts_data
  from test.unit.tasks.test_regression import get_synthetic_regression_data, get_rmse_value
label_desc: Use image node_id 2 for calling a global function with example usage: pipeline_h2o_regr() and returns: pipeline